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Field
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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Commitment to carry out research in Trondheim Experience in implementing in-situ water quality measurements and sensor data analysis Experience in remote sensing with satellites Experience in analytics in
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written communication skills in English. Strong data analysis skills. Desired qualifications: Two or more of the following; Competence on point defects in semiconductors for quantum technology applications
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discipline relevant to the project, completed before the start of the position. You have a solid methodological foundation in ecological data collection and analysis, such as field‑based sampling, quantitative
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, analysis and dissemination of the research. The project will support the career development of the RF by enabling the development of their research expertise in a theoretically broad and methodologically
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, and Arctic geosciences. The Centre is actively involved in the World Meteorological Organization (WMO) Polar Coupled Analysis and Prediction for Services (PCAPS) program. Through this engagement, MET
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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be responsible for developing, automating and optimizing data acquisition and analysis workflows for experimental datasets. The candidate will work on the following tasks: Simulation and modeling
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in combination in aquatic organisms. Performing speciation and bioavailability studies in combination with in situ fractionation techniques to characterize exposure. Carry out chemical analysis